K-Diffusion is an open-source PyTorch library implementing the diffusion-model design space from Karras et al. (2022), the paper behind the "Karras" samplers…
Petastorm is Uber's open-source data library for training and evaluating deep learning models directly from Apache Parquet datasets, on a single machine…
WaveGlow is NVIDIA’s open-source neural vocoder: a flow-based generative network that turns mel spectrograms into natural-sounding speech audio. Released under the BSD-3-Clause…
RoseTTAFold is an open-source deep learning system for predicting protein structures, developed in the Baker lab ecosystem and maintained by RosettaCommons. With…
PassGAN is an open-source research implementation of a deep-learning approach to password guessing: instead of hand-written rules and mangling dictionaries, a generative…
Terminal-Bench is an open-source benchmark that measures how well AI agents perform complicated, real-world tasks in a terminal, from building software to…
NCRF++ is an open-source PyTorch toolkit for neural sequence labeling — the family of tasks that includes named entity recognition, part-of-speech tagging,…
Sketch is an open-source AI assistant for pandas DataFrames that understands the content of your data, not just its column names. Built…
AXLearn is Apple’s open-source deep learning library, built on JAX, for training large-scale models with a strongly modular, object-oriented design. Released under…
InstantStyle is an open-source technique from the InstantX team for style-preserving text-to-image generation: give it one reference image and a prompt, and…
vimGPT is an open-source experiment that lets a multimodal model browse the real web: GPT-4V looks at screenshots of pages and drives…